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Analyzing a Caching Model


Dec 13, 2021
Leon Sixt, Evan Zheran Liu, Marie Pellat, James Wexler, Milad Hashemi Been Kim, Martin Maas

* Presented at the Neurips 2021 Workshop ML for System 

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Just Train Twice: Improving Group Robustness without Training Group Information


Jul 19, 2021
Evan Zheran Liu, Behzad Haghgoo, Annie S. Chen, Aditi Raghunathan, Pang Wei Koh, Shiori Sagawa, Percy Liang, Chelsea Finn

* International Conference on Machine Learning (ICML), 2021 

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Explore then Execute: Adapting without Rewards via Factorized Meta-Reinforcement Learning


Aug 06, 2020
Evan Zheran Liu, Aditi Raghunathan, Percy Liang, Chelsea Finn

* Project web page at https://ezliu.github.io/dream 

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Learning Abstract Models for Strategic Exploration and Fast Reward Transfer


Jul 12, 2020
Evan Zheran Liu, Ramtin Keramati, Sudarshan Seshadri, Kelvin Guu, Panupong Pasupat, Emma Brunskill, Percy Liang


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An Imitation Learning Approach for Cache Replacement


Jul 09, 2020
Evan Zheran Liu, Milad Hashemi, Kevin Swersky, Parthasarathy Ranganathan, Junwhan Ahn

* International Conference on Machine Learning (ICML), 2020 

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Mapping Natural Language Commands to Web Elements


Oct 01, 2018
Panupong Pasupat, Tian-Shun Jiang, Evan Zheran Liu, Kelvin Guu, Percy Liang

* EMNLP 2018 

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Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration


Feb 24, 2018
Evan Zheran Liu, Kelvin Guu, Panupong Pasupat, Tianlin Shi, Percy Liang

* International Conference on Learning Representations (ICLR), 2018 

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From Language to Programs: Bridging Reinforcement Learning and Maximum Marginal Likelihood


Apr 25, 2017
Kelvin Guu, Panupong Pasupat, Evan Zheran Liu, Percy Liang

* Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (2017) 

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